Transaction
ID: 08dfc7e74c...4039
Inputs (22)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.87 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.89 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 687,717
Total coins transferred: 1.89 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000048 ERG
Raw Transaction Data
{
"id": "08dfc7e74cc2e0cdd174350b722b602f1b86dbef95f444a6558eca967cae4039",
"blockId": "1f3f3bc84a56ef15a55a114a2bd0326ef56766f5ac59d78e1fad32f272f41017",
"inclusionHeight": 1082230,
"timestamp": 1693640014181,
"index": 3,
"globalIndex": 5765449,
"numConfirmations": 687717,
"inputs": [
{
"boxId": "478c85904b11836b0ed41c83684bd24916b07c4d09ee4a443f39a32547662880",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0d4b4c806c6015dfedd6597a44a7ee02b3a851ec62209722b19340f7b817d10a",
"outputTransactionId": "e9b72062eaff054cc94911471b89fbfde2745877e1a9e893494731fb29a7b9d2",
"outputIndex": 0,
"outputGlobalIndex": 32258778,
"outputCreatedAt": 1081673,
"outputSettledAt": 1081676,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 9740000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "15c38c1a95720f3f0e15b744c75f19a22177d7bce42362c96954773cf0d37ecf",
"value": 1868000000,
"index": 1,
"spendingProof": "f009eab692b4eb24a03a02060562f1c938aea2a27301e635724013eb78ce3e33189869a23c6d135d639400defe51c143a68cb76ba5f47131",
"outputBlockId": "f875f5d9976ec602178f90dddaeaacce8fec5467b0f95dc8f04fb3e19edbd234",
"outputTransactionId": "eeab9e334245b255835ff4df737fcad0dfcafa1131a20cd05e18c049ea8ccdb1",
"outputIndex": 1,
"outputGlobalIndex": 32259469,
"outputCreatedAt": 1081681,
"outputSettledAt": 1081685,
"ergoTree": "0008cd0264217d770bef916f86a3839ba5da56a149e1ae6b09ddf6a203a12fe7d5274310",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(64217d,37ee69,...)))}",
"address": "9fHADraKV9gJUTZU2YAb5mPCijbkLbMQ8n8VZr8LuTdu8zLGSYN",
"assets": [
{
"tokenId": "af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "5a8ea5002aa7244349938aa0fd6c767ad92c3064b9e02810ea97ce4a61f47b86",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "f875f5d9976ec602178f90dddaeaacce8fec5467b0f95dc8f04fb3e19edbd234",
"outputTransactionId": "7677ed73053cbf7869900102e5de6c41f24ba32954020c076363bdc50a39e809",
"outputIndex": 0,
"outputGlobalIndex": 32259349,
"outputCreatedAt": 1081681,
"outputSettledAt": 1081685,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "8c20a422b0d0063077f6365b4c1c7640b2ed274672ec28db070e1347b146db18",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "f875f5d9976ec602178f90dddaeaacce8fec5467b0f95dc8f04fb3e19edbd234",
"outputTransactionId": "0ef48bce999bf93f2086ec359c8062b12c19f5d57530013beb5327c57993ef00",
"outputIndex": 0,
"outputGlobalIndex": 32259352,
"outputCreatedAt": 1081681,
"outputSettledAt": 1081685,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "59f682a8764addecd6ca3863b9948caa309eafcba5b773998d64c9ea5a6e36c3",
"value": 1100000,
"index": 4,
"spendingProof": null,
"outputBlockId": "f875f5d9976ec602178f90dddaeaacce8fec5467b0f95dc8f04fb3e19edbd234",
"outputTransactionId": "8cb8f486ad78ebf045bd89677d5584dda2b7f475ef6cc15cd48ce7cfa6af3261",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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{
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"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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{
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"decimals": 0,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"decimals": 0,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "d63edef000ac8515b977a8f90beca9b9666ca7a8599c6657ee10794b16a303ef",
"value": 1100000,
"index": 20,
"spendingProof": null,
"outputBlockId": "f875f5d9976ec602178f90dddaeaacce8fec5467b0f95dc8f04fb3e19edbd234",
"outputTransactionId": "b8bb69660e55b1cd48d094098c4b121820f75d1953c350ba1dd7cb135b091ca8",
"outputIndex": 0,
"outputGlobalIndex": 32259459,
"outputCreatedAt": 1081681,
"outputSettledAt": 1081685,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "c0a7f86680989fd50902b8bbe4dea75174415b95175799eeb040efd388b2da2a",
"value": 1100000,
"index": 21,
"spendingProof": null,
"outputBlockId": "f875f5d9976ec602178f90dddaeaacce8fec5467b0f95dc8f04fb3e19edbd234",
"outputTransactionId": "eeab9e334245b255835ff4df737fcad0dfcafa1131a20cd05e18c049ea8ccdb1",
"outputIndex": 0,
"outputGlobalIndex": 32259468,
"outputCreatedAt": 1081681,
"outputSettledAt": 1081685,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "e1aa29855fc8b442fee47a494ab259d1b2a4198cb0100a787e67d3606894b0f6",
"transactionId": "08dfc7e74cc2e0cdd174350b722b602f1b86dbef95f444a6558eca967cae4039",
"blockId": "1f3f3bc84a56ef15a55a114a2bd0326ef56766f5ac59d78e1fad32f272f41017",
"value": 1100000,
"index": 0,
"globalIndex": 32286635,
"creationHeight": 1082212,
"settlementHeight": 1082230,
"ergoTree": "10110400040004040400040204000e2032ee5d947cfe8db5480157ffa566b9b7d9faf41fa145c9d00628c7c1599878f60404040004000400010104000e20e0b2ac07c924f3f965d1d98441a029650f84d69b011042d330e3b6759a18f1b4040404000400d806d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db6308720595938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095ae7206d901074d0e938c720701720296830201938cb27206730a0001720293c27205c2a7730bd801d607c2a7d196830a01938cb27206730c0001720293cbc27205730de6c67205051ae6c67205060e93e4c67205070ecb720793e4c67205041a7204ef720393c27201720793e4c67201041a7204938cb2db6308b2a5730e00730f0001b27204731000",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 9930000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "6baf0edeb5082b729b2280aca6d62e7bda749ac146528edb02d7424744b132ad",
"mainChain": true
},
{
"boxId": "be87af5a0ad58a191b0cfa59295a45fa7f0abac587316665fea77b8e8c0273d3",
"transactionId": "08dfc7e74cc2e0cdd174350b722b602f1b86dbef95f444a6558eca967cae4039",
"blockId": "1f3f3bc84a56ef15a55a114a2bd0326ef56766f5ac59d78e1fad32f272f41017",
"value": 1100000,
"index": 1,
"globalIndex": 32286636,
"creationHeight": 1082212,
"settlementHeight": 1082230,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(115,120,71,67,81,9,-28,9,88,-75,53,-64,30,8,-72,-73,-72,-50,-14,-59,-89,68,25,127,-10,72,-123,14,13,34,-26,-88)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 3\n12: 2\n13: 1\n14: 1\n15: 100\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n val i13 = coll12.size\n val l14 = i13.toLong\n val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n Long\n ](15)\n val tuple19 = SELF.tokens(placeholder[Int](16))\n val l20 = coll16(placeholder[Int](17))\n val tuple21 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n l18\n }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](23))\n val tuple13 = SELF.tokens(placeholder[Int](24))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
},
"R5": {
"serializedValue": "1a01209e758bed9fbe0244ae3141c78f6f8e85894464ebdb512c335bba52bd80af822a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9e758bed9fbe0244ae3141c78f6f8e85894464ebdb512c335bba52bd80af822a]"
},
"R6": {
"serializedValue": "0e207dacf76ed081b1c207573ebac5ee54ff9c6e6108df949f6aaf1d91bcd2dd7e1f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7dacf76ed081b1c207573ebac5ee54ff9c6e6108df949f6aaf1d91bcd2dd7e1f"
},
"R7": {
"serializedValue": "0e20137984a29fd08728a3708c475a715d08ebc6e97dd337632342d0d2a7c7dd0d73",
"sigmaType": "Coll[SByte]",
"renderedValue": "137984a29fd08728a3708c475a715d08ebc6e97dd337632342d0d2a7c7dd0d73"
}
},
"spentTransactionId": "645578f33827b141f1e4389a51b2541c8e8c03f15bc89905319965519741d9d3",
"mainChain": true
},
{
"boxId": "9be78c56ce40571bdb38bd1c2890ff916212a20857f97c88db7d4ec249e1a14a",
"transactionId": "08dfc7e74cc2e0cdd174350b722b602f1b86dbef95f444a6558eca967cae4039",
"blockId": "1f3f3bc84a56ef15a55a114a2bd0326ef56766f5ac59d78e1fad32f272f41017",
"value": 1887800000,
"index": 2,
"globalIndex": 32286637,
"creationHeight": 1082212,
"settlementHeight": 1082230,
"ergoTree": "0008cd0264217d770bef916f86a3839ba5da56a149e1ae6b09ddf6a203a12fe7d5274310",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(64217d,37ee69,...)))}",
"address": "9fHADraKV9gJUTZU2YAb5mPCijbkLbMQ8n8VZr8LuTdu8zLGSYN",
"assets": [
{
"tokenId": "af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "6baf0edeb5082b729b2280aca6d62e7bda749ac146528edb02d7424744b132ad",
"mainChain": true
},
{
"boxId": "8ac4cef81bc6d285ee361b03a9df3c09f311ab5fb207ff150e5622ede3a0e4d9",
"transactionId": "08dfc7e74cc2e0cdd174350b722b602f1b86dbef95f444a6558eca967cae4039",
"blockId": "1f3f3bc84a56ef15a55a114a2bd0326ef56766f5ac59d78e1fad32f272f41017",
"value": 1100000,
"index": 3,
"globalIndex": 32286638,
"creationHeight": 1082212,
"settlementHeight": 1082230,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2ad19c3ef2efc05096247130ee7651a9c1a495ebd0cdc97d4e4cdfbe28da5ade",
"mainChain": true
}
],
"size": 2291,
"isUnconfirmed": false
}